Description:

Hugging Face is seeking a Machine Learning Engineer Intern for the AI Energy Score project, which focuses on understanding the energy efficiency of machine learning models.
The internship will involve experimentation and analysis related to the energy requirements of different models and deployment contexts, including hardware, optimization techniques, and serving stacks.
The role is fully remote within the EMEA region and is a full-time position.
The company values diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds and experiences.

Requirements:

Candidates should have a passion for open-source technology and a creative approach to making complex technology accessible to engineers and artists.
A strong interest in machine learning and its environmental impacts is essential.
Applicants are encouraged to apply even if they do not meet every requirement, as the company values diverse skills and experiences.

Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options, ensuring support for employees regardless of their location.
Employees have the opportunity to visit office spaces around the world, and the company will outfit workstations to ensure success.
Hugging Face fosters a community that supports collaboration within the ML/AI field, promoting significant scientific advancements.